SF DAT 28 Course Repository

Course materials for General Assembly's Data Science course in San Francisco, CA (10/4/16 - 12/13/16).

Instructors: Sinan Ozdemir

Teaching Assistants: George McIntire Cari Levay

Course Times

Tuesday/Thursday: 6:30pm - 9:30pm

Office hours:

TBD

All courses / office hours will be held in the student center at GA, 225 Bush Street

Course Project Information

Course Project Examples

Tuesday	Thursday	Project Milestone	HW
10/4: Introduction / Expectations / Intro to Data Science	10/6: Pandas
10/11: 10/13: APIs / Web Scraping 101	10/15: Intro to Machine Learning / KNN		HW 1 Assigned (W)
10/18: Model Evaluation / Linear Regression Part 1	10/20: Linear Regression Part 2 / Logistic Regression	Three Potential Project Ideas (W)
10/25: Natural Language Processing	10/27: Naive Bayes Classification		HW 1 Due (W)
11/1: Advanced Sklearn (Pipeline and Feaure Unions)	11/3: Review
11/8: Decision Trees	11/10: Ensembling Techniques		HW 2 Assigned (W)
11/15: Dimension Reduction	11/17: Clustering / Topic Modelling	First Draft Due (W)
11/22: Stochastic Gradient Descent	11/23: No Class	Peer Review Due (M)
11/29: Neural Networks / Deep Learning	12/1 Recommendation Engines		HW 2 Due (W)
12/6: Web Development with Flask	12/8: Projects
12/13: Projects

Installation and Setup

• Install the Anaconda distribution of Python 2.7x.
• Setup a conda virtual environment
• Install Git and create a GitHub account.
• Once you receive an email invitation from Slack, join our "SFDAT28 team" and add your photo!

Resources

• PEP 8 - Style Guide for Python
• Learn How to Think Like a Computer Scientist
• Potential book for course? :)

##Introduction / Expectations / Intro to Data Science

Agenda

• Introduction to General Assembly slides
• Course overview: our philosophy and expectations (slides)
• Ice Breaker

Break -- Command Line Tutorial

• Figure out office hours
• Intro to Data Science: slides

Homework

• Setup a conda virtual environment
• Install Git and create a GitHub account.
  • Read my intro to Git and be sure to come back on monday with your very own repository called "sfdat28-lastname"
• Once you receive an email invitation from Slack, join our "SFDAT28 team" and add your photo!
• Introduction on how to read and write iPython notebooks tutorial

Class 2: Introduction to Pandas

####Goals

• Feel comfortable importing, manipulating, and graphing data using Python's Pandas
• Be able to find missing values and begin to have a sense of how to deal with them

####Agenda

• Don't forget to git pull in the sfdat26 repo in your command line
• Intro to Pandas walkthrough here
  • Pandas Lab 2 Solutions here

####Homework

• Go through the python class/lab work and finish any exercise you weren't able to in class
• Make sure you have all of the repos cloned and ready to go
  • You should have both "sfdat28" and "sfdat28-lastname"
• Read Greg Reda's Intro to Pandas
• Take a look at Kaggle's Titanic competition
• I will be using a module called tweepy next time.
  • To install please type into your console pip install tweepy

Resources:

• Another Git tutorial here
• In depth Git/Github tutorial series made by a GA_DC Data Science Instructor here
• Another Intro to Pandas (Written by Wes McKinney and is adapted from his book)
  • Here is a video of Wes McKinney going through his ipython notebook!
• Examples of joins in Pandas
• For more on Pandas plotting, read the visualization page from the official Pandas documentation.

Next Time on SFDAT28...

• Maria finds out that Sancho has been cheating on her with her.. mother!

• We will use python to programatically obtain data via open sources on the internet

  • We will be scraping the National UFO reporting center
  • We will be collecting tweets regarding Donald Trump and Hilary Clinton
  • We will be examining What people are really looking for in a data scientist..

• We will continue to use pandas to investigate missing values in data and have a sense of how to deal with them